The New Stack Podcast21 Sep 2023

Don't Listen to a Vendor About AI, Do the DevOps Redo

In this episode of The New Stack Makers, technologist and author John Willis emphasized caution when considering AI solutions from vendors. He advised against blindly following vendor recommendations for "one-size-fits-all" AI products, likening it to discouraging learning Java in the past in favor of purchasing a product.

Willis stressed that DevOps serves as an example of how human expertise, not just products, solves problems. He urged C-level executives to first understand AI's intricacies and then make informed purchasing decisions, suggesting a "DevOps redo" to encourage experimentation and collaboration, similar to the early days of the DevOps movement.

Willis highlighted that early adopters of DevOps, like successful banks, heavily invested in developing their human capital. He cautioned against hasty product purchases, as the AI landscape is rife with startups that may quickly disappear or be acquired by larger companies.

Instead, Willis advocated for educating teams on effective data management techniques, including retrieval augmentation, to fine-tune large language models. He emphasized the need for data cleansing to build robust data pipelines and prevent LLMs from generating undesirable code or sensitive information.

According to Willis, the process becomes enjoyable when done correctly, especially for companies using LLMs at scale with retrieval augmentation. To ensure success, he suggested adding governance and structure, including content moderation and red-teaming of data, which vendors may not prioritize in their offerings.

Learn more from The New Stack about DevOps and AI:

AIOps: Is DevOps Ready for an Infusion of Artificial Intelligence?

How to Build a DevOps Engineer in Just 6 Months

Power up Your DevOps Workflow with AI and ChatGPT

Denne episoden er hentet fra en åpen RSS-feed og er ikke publisert av Podme. Den kan derfor inneholde annonser.

Episoder(300)

Dynatrace's $915M Arize deal bets AI agents are just another app to monitor

Dynatrace completed its $915 million acquisition of Arize on Oct. 1, combining Dynatrace’s application and infrastructure monitoring with Arize’s AI agent tracing and evaluation capabilities. The deal...

5 Okt 20min

Bit Cloud’s next chapter starts after the AI builds your app

For many developers, turning an AI-generated prototype into maintainable software requires more than generating code—it requires infrastructure, collaboration, testing and review. In this episode of T...

1 Okt 31min

CloudBees just committed to an AI-first pivot. Here's why it matters for enterprise DevOps teams

CloudBees CEO Mo Plassnig is leading the CI/CD company through a major transformation as generative AI reshapes software development. Returning to CloudBees eight years after joining through its acqui...

30 Sep 23min

A third option is emerging in the fight over AI and your data

The AI industry has faced a growing enterprise dilemma: companies want access to powerful proprietary AI models without risking sensitive data or intellectual property, while AI labs want to protect t...

23 Sep 30min

Drowning in AI pull requests: Harness's field CTO on code review and a Git repo built for agents

Harness Field CTO Martin Reynolds joins The New Stack to talk about what happens after coding agents start opening pull requests faster than anyone can review them. He explains how he first saw the bo...

7 Sep 26min

How to find failures without drowning in tracing data

Traces provide a detailed view of a request’s journey through data, microservices and applications, helping SREs pinpoint where failures occur and resolve issues faster. But while tracing can reduce d...

3 Sep 31min

Why CPUs still matter in the age of AI agents

As AI evolves from conversational chatbots to autonomous agents, CPUs are becoming an increasingly important part of the infrastructure equation. In this episode, The New Stack speaks with Bhumik Pate...

11 Aug 26min

Why Doist Says Less AI Can Deliver More

Doist CTO Gonçalo Silva says AI is reshaping software development, but success depends on restraint rather than rapid feature expansion. Instead of chasing every AI capability, Doist prioritizes “subt...

31 Jul 35min